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Show & Tell Presentation Regular Presentation
Evaluating English Bento: A multi-skill language learning platform
This presentation will describe how English Bento was used in two different learning environments. English Bento is a multi-skill language learning platform delivered on mobile devices that gives students opportunities to train speaking, listening, comprehension, grammar, vocabulary as well as repair their interlanguage. It includes in-app metrics and allows teachers to set assignments and track progress, score, and time-on-task using a web-based dashboard. A brief overview of the activities will be explained, followed by how the app was used in two different remote classroom settings. The first was an intensive 2-week remedial program that allowed students (TOEIC 220-330) to earn an English credit. The app accounted for over 60% of their workload, with textbook worksheets accounting for the remainder. The second setting was an existing listening and speaking remote course, which gave intermediate-level students (TOEIC 480-620) the opportunity for significant speaking and listening practice. A survey with open-ended and Likert scale questions was administered to students to gauge their experience. The in-app score metric from the app was used as a direct measure of learning outcomes. The app scoring is a measure of ability as it measures both accuracy and time to complete. The students' pre-post English scores were measured and compared and with a similar class from previous year. A comparison of the groups and how they differed will be discussed, along with recommendations on how to use English Bento in an existing class.
Robert Cvitkovic - Evaluating English Bento: A multi-skill language learning platform
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I am a recent graduate of Temple University. My current research is in MALL. Currently, developing content for apps that could facilitate language learning, particularly for remote learners.
Research activities include engagement, feedback, and gamification in educational app design and technology. Currently researching the effectiveness of Speech-to-text technology on speaking fluency and engagment.